Clinical trials: Weight Estimation
- Condition Weight Estimation
- Funder type Industry (pharma, biotech, devices)
- Age group Children (under 18)
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Anorexia, Obesity
Estimating the Short-term Effectiveness of Online Advertisements for Improving Health
Bing ads designed to encourage people to adopt healthier practices (e.g., stop smoking, become physically active, stop consuming harmful content) are shown using the advertising system, to test which ads are more effective as…
- Conditions
- Anorexia, Obesity, Smoking Cessation
- Trial name
- NCT03439553
- Testing
- Ads display with target websites, Ads display with control websites
- Where
- Israel
- Volunteers
- 2,000,000 people, healthy volunteers welcome
- Sponsor
- Microsoft Research
Growth; Stunting, Nutritional
Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children
An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's height using images taken by a healthcare professional or parents.
- Trial name
- INFER (NCT06578338)
- Testing
- Physical height measurement
- Where
- Singapore
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.